Article
Computer Science, Information Systems
Shangguang Wang, Ao Zhou, Ruo Bao, Wu Chou, Stephen S. Yau
Summary: This paper analyzes the trade-off among QoS performance, energy consumption, and network resource consumption in a service composition process, and proposes a green service composition approach that aims to minimize energy and network resource consumption in cloud data centers. Experimental results show that this approach saves 20-50% of energy consumption and 10-50% of network resource consumption compared to other approaches.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Information Systems
Engin Zeydan, Jorge Baranda, Josep Mangues-Bafalluy, Yekta Turk, Saim Bugrahan Ozturk
Summary: This paper proposes a permissioned distributed ledger-based blockchain architecture for network management and orchestration platform, and validates it with experimental scenarios. The results show that different service orchestrator-related instantiation metrics have different effects on performance metrics.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Article
Automation & Control Systems
Zhenyu Wen, Saurabh Garg, Gagangeet Singh Aujla, Khaled Alwasel, Deepak Puthal, Schahram Dustdar, Albert Y. Zomaya, Rajiv Ranjan
Summary: Industry 4.0 has automated the manufacturing sector using Internet of Things and cloud computing, leading to a rise in energy consumption by cloud data centers. Private SDWAN connects data centers globally, offering new scheduling strategies to manage cloud workload more efficiently. Proposed algorithms aim to minimize cloud revenue and nonrenewable energy usage, increasing green energy utilization without significant cost increase.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Hardware & Architecture
Ali Alssaiari, Nigel Thomas
Summary: This paper models the task assignment algorithm TAGS using PEPA to analyze performance and energy consumption in a heterogeneous environment. The study shows that TAGS improves performance while increasing total energy consumption, but can reduce energy consumption per job under heavy load.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2021)
Article
Computer Science, Information Systems
Swasti Khurana, Novarun Deb, Sajib Mistry, Aditya Ghose, Aneesh Krishna, Hoa Khanh Dam
Summary: This article proposes an egalitarian transient service composition framework from the perspective of the CIS market. It models the dynamic service provision behavior of providers using a Dynamic Bayesian Network and incorporates a Pareto-based genetic algorithm to ensure fair distribution of services among consumers.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Environmental Sciences
Muhlis Can, Munir Ahmad, Zeeshan Khan
Summary: The study finds that the composition of export products, income, urbanization, and economic complexity all promote energy use and CO2 emissions, with complex bidirectional or unidirectional causal relationships among different factors.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Software Engineering
Osama Almurshed, Omer Rana, Yinhao Li, Rajiv Ranjan, Devki Nandan Jha, Pankesh Patel, Prem Prakash Jayaraman, Schahram Dustdar
Summary: This article proposes a novel fault-tolerant model that provides self-detection and automatic recovery of faults to enhance the reliability of IoT applications and address infrastructure-level failures in heterogeneous IoT environments. The proposed system includes a fault-tolerant workflow composition and deployment automation system, which is evaluated using a real-world IoT application.
IEEE INTERNET COMPUTING
(2022)
Article
Computer Science, Information Systems
Jianmin Li, Ying Zhong, Shunzhi Zhu, Yongsheng Hao
Summary: This paper examines an energy-aware heuristic for service composition (EASC) in a multi-Cloud environment to reduce energy consumption caused by executing atomic services. By composing services in one cloud to minimize file transfer energy consumption between atomic services and considering the influence of split-point positions, the proposed method demonstrates good performance in reducing execution time and energy consumption.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Theory & Methods
Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu
Summary: Globally distributed computing infrastructures generate and exchange a large volume of data. While the transfer of large files has been optimized, transferring small files still faces challenges. This transfer is constrained by file system throughput. By building a data transfer pipeline model and extending existing solutions, we propose several engineering approaches to improve the efficiency of small file transfer.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Review
Construction & Building Technology
D. J. Sailor, J. Anand, R. R. King
Summary: This review explores the feedback mechanisms between photovoltaic energy production and the urban environment, highlighting the potential impacts on urban temperatures, building energy use, and overall PV efficiency. Future developments of PV technologies should focus on increasing efficiency, enhancing reflection of unconverted energy, and considering the effects of urban conditions on system performance.
ENERGY AND BUILDINGS
(2021)
Article
Computer Science, Information Systems
Xingjuan Cai, Shaojin Geng, Di Wu, Jianghui Cai, Jinjun Chen
Summary: The rapid development of IoT leads to unprecedented data demand and security challenges. Multicloud platform, as a high-performance secure computing platform, can address data processing and security issues to some extent.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Wenhao Ma, Hongzhen Xu
Summary: Cloud computing has experienced rapid growth and become a critical computing paradigm. Combining multiple cloud services to satisfy complex user requirements is a hot topic in cloud computing. However, prior research has mainly focused on maximizing the quality of service and overlooked the energy consumption generated during service invocation. Therefore, we propose the SkyDRL approach to address these challenges by introducing deep reinforcement learning.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Hao Wei, Joaquin Salvachua Rodriguez, Octavio Nieto-Taladriz Garcia
Summary: Cloud computing plays a significant role in advancing modern software application design, while challenges persist in managing application deployment resources across multicloud environments. Therefore, research in resource control and topology discovery for application deployment in multicloud environments is crucial for improving efficiency and quality.
JOURNAL OF GRID COMPUTING
(2021)
Article
Computer Science, Information Systems
Kai Guo, Jiaojiao Li, Muqing Niu
Summary: This paper addresses issues such as dynamic changes in historical attribute service evaluation indicators, lack of comprehensive consideration of the interest needs of all cloud manufacturing participants, and strong subjectivity in the composition optimization results in the process of cloud manufacturing service composition. A multi-objective optimization model is constructed, considering the demands of service demanders, platform operators, and service providers as constraints. The NSGA-II algorithm and grey target decision-making method are used to solve the optimization model, and case analysis demonstrates the feasibility and effectiveness of the proposed approach.
Article
Computer Science, Information Systems
Jian Xu, Hemant K. Jain, Dongxiao Gu, Changyong Liang
Summary: This paper discusses the challenges of selecting and assembling cloud services to support multiple related business processes and proposes a multi-factor cloud service composition optimal selection model and an improved differential evolution algorithm for solution.
INFORMATION SYSTEMS FRONTIERS
(2023)
